Sr Principle Data Scientist - DDSAI - Therapeutics Discovery

Johnson & Johnson

Remote Actively hiring Posted this week
Remote (Us337 Ma Cambridge - 301 Binney St, US) Posted 6 days ago $137,000$235,750 / year

At a glance

AI generated

TL;DR

Johnson & Johnson Innovative Medicine is seeking a Senior Principle Data Scientist to join their dynamic team in Cambridge, Massachusetts, focusing on enhancing drug discovery through advanced data science and AI/ML technologies. This role involves designing and maintaining scalable data pipelines for biologics research, integrating third-party solutions, and collaborating with cross-functional teams to deliver high-quality data-driven insights. The ideal candidate will have a strong background in computational biology or related fields, experience with Python and scientific libraries like PyTorch and TensorFlow, and expertise in cloud computing environments such as AWS or Azure. Familiarity with antibody design and protein engineering is preferred, enabling the development of innovative solutions that accelerate therapeutic discovery processes within a large-scale pharmaceutical R&D environment.

Skills

Python PyTorch TensorFlow scikit-learn RDKit AWS GCP Azure Kubernetes Docker CI/CD MLOps HPC PostgreSQL SQL ETL ELT Data Engineering Cloud Computing Machine Learning AI/ML

What you'll do

  • Design and maintain data pipelines for biologics discovery.
  • Develop integrations with Therapeutics Discovery systems and external partners.
  • Optimize data workflows for performance, scalability, and reliability.
  • Collaborate with scientists to solve real R&D challenges using ML/AI.
  • Monitor and resolve platform issues to ensure continuous operation.

What we're looking for

  • Advanced degree in Computational Biology, Bioinformatics, Data Science, Biomedical Engineering, Computer Science, or related fields.
  • Experience applying ML/AI in scientific domains such as drug discovery, biology, chemistry, systems biology.
  • Strong programming skills in Python and experience with scientific/ML libraries like PyTorch, TensorFlow, scikit‑learn.
  • Practical experience with data engineering including data modeling, workflow orchestration, ETL pipelines, and cloud computing environments.
  • Ability to collaborate directly with experimental scientists to solve real R&D challenges.
  • Familiarity integrating data across HPC and MLOps tools (preferred).
  • Basic understanding of biology, antibody design, and protein engineering.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 78 open roles on FindRole.

Listed pay typically runs $122,000–$212,750 across 77 roles with salary data.

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